Significance of the difference between two correlation coefficients

Using the info from that website, I can code up the following to give
the two-tailed p-value of difference in correlations:

  diff.corr <- function( r1, n1, r2, n2 ){
...

William Revelle also mentioned the r.test in the psych package.

I would add here that inference on second-order quantities, such as
correlation coefficients and variances, is not robust to the assumption
of a normally-distributed population.  (Inference on first-order
quantities such as means and regression coefficients, IS pretty robust
to that assumption.) A good general alternative is the bootstrap,
implemented in R in the boot package.

Norm Matloff